Senior Data Analyst

This is a fully remote position, open to applicants in Saudi Arabia.

📋 Description

• Analyze extensive datasets pertaining to agent performance, support interactions, and quality assurance.

• Craft optimized SQL queries utilizing platforms such as BigQuery and ClickHouse.

• Develop dashboards using Tableau and Metabase.

• Identify behavioral and performance trends among agents and support teams.

• Collaborate with QA to determine root causes of agent behavior and customer-related issues.

• Employ LLM tools with practical prompt engineering for daily analytical tasks, summarization, and insights generation.

• Evaluate and profile LLM outputs for quality, relevance, and analytical accuracy in business contexts.

• Possess familiarity with LLM APIs and the integration of model outputs into analytical or internal tooling workflows.

• Utilize Airflow and Python to automate data-related tasks and support workflows.

• Enhance analytics pipelines and data marts to boost performance, resource efficiency, and reliability.

• Identify and refactor inefficient Directed Acyclic Graphs (DAGs), queries, and transformations to ensure scalable and cost-effective data processing.

• Propose and co-develop enhancements in agent tooling, ticket routing, and SLA tracking.

• Convert business inefficiencies into measurable metrics and outcomes.

• Act as an analytical collaborator for Operations, Support Management, QA, and Training.

• Collaborate with Data Engineering to guarantee clean, accurate, and well-structured data pipelines.

• Present findings clearly through presentations, visualizations, and succinct documentation.

⛳️ Requirements

• Analyze extensive datasets pertaining to agent performance, support interactions, and quality assurance.

• Craft optimized SQL queries utilizing platforms such as BigQuery and ClickHouse.

• Develop dashboards using Tableau and Metabase.

• Identify behavioral and performance trends among agents and support teams.

• Collaborate with QA to determine root causes of agent behavior and customer-related issues.

• Employ LLM tools with practical prompt engineering for daily analytical tasks, summarization, and insights generation.

• Evaluate and profile LLM outputs for quality, relevance, and analytical accuracy in business contexts.

• Possess familiarity with LLM APIs and the integration of model outputs into analytical or internal tooling workflows.

• Utilize Airflow and Python to automate data-related tasks and support workflows.

• Enhance analytics pipelines and data marts to boost performance, resource efficiency, and reliability.

• Identify and refactor inefficient Directed Acyclic Graphs (DAGs), queries, and transformations to ensure scalable and cost-effective data processing.

• Propose and co-develop enhancements in agent tooling, ticket routing, and SLA tracking.

• Convert business inefficiencies into measurable metrics and outcomes.

🏝️ Benefits

• We are an international team of inspired professionals located across the globe.

• We foster an inclusive company culture that embraces diversity, integrity, and transparency. We prioritize work-life balance and value the time you spend with your loved ones outside of work. Following the same principles that guide our product, we are dedicated to caring for and nurturing our employees.

• Our employees are granted complete trust and freedom to implement their vision and share their ideas from day one at Tabby. You will be responsible for your area of work. We encourage everyone to think and make decisions as if Tabby were their own business—because it is. Our employee stock options program is available for all.

• You will have the chance to learn and grow within one of the fastest-growing fintech companies in the region.

• We offer relocation support and guide you through the entire process.

• We will provide you with the necessary devices required for your work.